Description

You will deploy and optimize computer vision models for edge deployment.

This role is on-site.

Responsibilities

• Fine-tune and retrain off-the-shelf computer vision models for object detection.
• Optimize models using quantization and distillation for edge deployment.
• Containerize FastAPI-based web services using Docker.
• Publish model results to message brokers.

Required Skills

• 5+ years of experience in computer vision algorithms, specifically YOLO-based models.
• Strong programming skills in Python.
• Proficiency with Docker for containerization.
• Experience operating within Kubernetes and Google Cloud Platform (GCP).
• Familiarity with Typescript.
• Experience building scalable architectures.

Key Skills

Education

Any Graduate